In a recent study, a research team led by Assistant Professor Kazuya Sawada from the Department of Information and Computer Technology, Faculty of Engineering at Tokyo University of Science (TUS), ...
A new method of CCM using which connections between neurons can be inferred based on the causal relationships between spike train data. Understanding the brain’s functional architecture is a ...
Tech Xplore on MSN
Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
The recorded HD-sEMG are decomposed into channel-wise CSTs, transformed into cwCST-image according to the channel distribution, and decoded to different gestures by CNN-based model. The CSTs in each ...
Artificial intelligence (AI) machine learning is used in brain-computer interfaces (BCIs) to help identify patterns and decode brain imaging data. A new study published in Nature Biomedical ...
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results